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4 / 200AI 开发实战教程,从零到一构建你的 AI 应用。
All200
Beginner32
Intermediate92
Advanced76
All
Prompt Engineering12
RAG Retrieval Augmented17
Agent Development34
Model Fine-tuning21
Deployment and Operations25
AI Application Development40
DeepSeek API16
Multimodal Development6
AI Safety6
Model Inference3
Retrieval Systems1
RAG Retrieval1
Model Architecture3
API Development1
Agent Development10
Model Deployment1
Multimodal1
Model Evaluation2
Tutorial
Date
Chain-of-Thought Deep Dive
Prompt Engineering
Advanced
Chain-of-Thought (CoT) is not just about adding 'Let's think step by step'. This article deeply analyzes the working mechanism, variant strategies, and cutting-edge progress of CoT from three dimensions: cognitive science, information theory, and engineering practice, helping you truly understand the essence of AI reasoning.
Structured Output and JSON Mode in Practice
Prompt Engineering
Advanced
In production environments, unstructured output from AI is difficult to use directly. This article provides an in-depth explanation of how to make large models output structured data, including JSON Schema constraints, Pydantic integration, and best practices for structured output.
Prompt Security and Injection Defense
Prompt Engineering
Advanced
Prompt injection is the primary security threat to AI applications. Attackers can bypass system instructions, steal sensitive information, and induce malicious behavior through carefully crafted inputs. This article explains in depth the attack vectors, detection methods, and defense strategies of prompt injection to help you build secure AI applications.
Prompt Injection Defense and Security Hardening
Prompt Engineering
Advanced
Prompt injection is the number one security threat facing large model applications. This article provides an in-depth analysis of various injection attack principles and offers systematic defense strategies, including input filtering, output validation, sandbox isolation, and permission control.